29 citations · 93 across the 23 of their papers we have counts for
3 papers · 1 filter
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver
Daniel Lersch, Malachi Schram, Zhenyu Dai +4
Large scale, inverse problem solving deep learning algorithms have become an essential part of modern research and industrial applications. The complexity of the underlying inverse…
Dataset for Investigating Anomalies in Compute Clusters
Diana McSpadden, Yasir Alanazi, Bryan Hess +8
The dataset was collected for 332 compute nodes throughout May 19 - 23, 2023. May 19 - 22 characterizes normal compute cluster behavior, while May 23 includes an anomalous event. T…
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows
Alok Singh, Eric Stephan, Malachi Schram +1
Distributed computing platforms provide a robust mechanism to perform large-scale computations by splitting the task and data among multiple locations, possibly located thousands o…